| Sentiment analysis on Twitter data towards climate action E Rosenberg, C Tarazona, F Mallor, H Eivazi, D Pastor-Escuredo, ... Results in Engineering 19, 101287, 2023 | 33 | 2023 |
| The sustainable development goals and aerospace engineering: a critical note through artificial intelligence A Sánchez-Roncero, Ò Garibo-i-Orts, JA Conejero, H Eivazi, F Mallor, ... Results in Engineering 17, 100940, 2023 | 29 | 2023 |
| Enabling adaptive mesh refinement for spectral-element simulations of turbulence around wing sections Á Tanarro, F Mallor, N Offermans, A Peplinski, R Vinuesa, P Schlatter Flow, Turbulence and Combustion 105, 415-436, 2020 | 26 | 2020 |
| Modal decomposition of flow fields and convective heat transfer maps: An application to wall-proximity square ribs F Mallor, M Raiola, CS Vila, R Örlü, S Discetti, A Ianiro Experimental Thermal and Fluid Science 102, 517-527, 2019 | 23 | 2019 |
| Wall-mounted perforated cubes in a boundary layer: Local heat transfer enhancement and control F Mallor, CS Vila, A Ianiro, S Discetti International Journal of Heat and Mass Transfer 117, 498-507, 2018 | 22 | 2018 |
| The potential of artificial intelligence for achieving healthy and sustainable societies B Sirmaçek, S Gupta, F Mallor, H Azizpour, Y Ban, H Eivazi, H Fang, ... The ethics of artificial intelligence for the sustainable development goals …, 2023 | 17 | 2023 |
| In situ visualization of large-scale turbulence simulations in Nek5000 with ParaView Catalyst M Atzori, W Köpp, SWD Chien, D Massaro, F Mallor, A Peplinski, ... The Journal of Supercomputing 78 (3), 3605-3620, 2022 | 13 | 2022 |
| A new perspective on skin-friction contributions in adverse-pressure-gradient turbulent boundary layers M Atzori, F Mallor, R Pozuelo, K Fukagata, R Vinuesa, P Schlatter International Journal of Heat and Fluid Flow 101, 109117, 2023 | 11 | 2023 |
| RANS modelling of a NACA4412 wake using wind tunnel measurements N Tabatabaei, M Hajipour, F Mallor, R Örlü, R Vinuesa, P Schlatter Fluids 7 (5), 153, 2022 | 7 | 2022 |
| Enabling high-fidelity measurements of turbulent boundary layer flow over wing sections in the MTL wind tunnel. F Mallor | 7 | 2019 |
| Bayesian optimization of wall-normal blowing and suction-based flow control of a NACA 4412 wing profile F Mallor, G Semprini-Cesari, T Mukha, S Rezaeiravesh, P Schlatter Flow, Turbulence and Combustion 113 (1), 93-118, 2024 | 5 | 2024 |
| Experimental characterization of turbulent boundary layers around a NACA 4412 wing profile F Mallor, CS Vila, M Hajipour, R Vinuesa, P Schlatter, R Örlü Experimental Thermal and Fluid Science 160, 111327, 2025 | 3 | 2025 |
| Spatial averaging effects in adverse pressure gradient turbulent boundary layers F Mallor, R Örlü, P Schlatter Flow, Turbulence and Combustion, 1-14, 2024 | 2 | 2024 |
| Using adaptive mesh refinement to simulate turbulent wings at high Reynolds numbers A Tanarro, F Mallor, N Offermans, A Peplinski, R Vinuesa, P Schlatter 11th International Symposium on Turbulence and Shear Flow Phenomena, TSFP …, 2019 | 2 | 2019 |
| High-fidelity simulations of the flow around a NACA 4412 wing section at high angles of attack F Mallor, R Vinuesa, R Örlü, P Schlatter International Journal of Heat and Fluid Flow 110, 109590, 2024 | 1 | 2024 |
| Wings, turbulent boundary layers and flow separation F Mallor KTH Royal Institute of Technology, 2024 | 1 | 2024 |
| In-situ analysis of backflow events and their relation to separation in wings through well-resolved LES F Mallor, J Liu, A Peplinski, R Vinuesa, R Örlü, T Weinkauf, P Schlatter ERCOFTAC Workshop Direct and Large Eddy Simulation, 17-22, 2023 | 1 | 2023 |
| Autonomous driving: present and emerging trends of technology, ethics, and law G Lindberg, I Carrero, F Mallor, J Estévez, M Battaglini, R Vinuesa Handbook on Artificial Intelligence and Transport, 596-616, 2023 | 1 | 2023 |
| Towards adaptive simulations of turbulent wings at high Reynolds numbers F Mallor, Á Tanarro, N Offermans, A Peplinski, R Vinuesa, P Schlatter arXiv preprint arXiv:2108.12317, 2021 | 1 | 2021 |
| Design and setup of a wing model in the Minimum-Turbulence-Level wind tunnel F Mallor, A Parikh, E Dogan, M Atzori, M Hajipour, N Tabatabaei, R Örlü, ... | 1 | 2021 |
Ricardo VinuesaAssociate Professor, KTH Royal Institute of TechnologyПотвърден имейл адрес: mech.kth.se
